benchmark 1cross-domain adaptation 1domain shift 1language-guided tracking 1referring multi-object tracking 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
CD-RMOT-Bench: Benchmarking the Cross-Domain Referring Multi-Object Tracking
Xiangqun Zhang, Likai Wang, Zekun Qian +2
The paper introduces CD-RMOT-Bench, a benchmark for evaluating how well referring multi-object tracking models trained on one visual domain perform on different, unseen domains, an…
cs.CV2025
CLIPVehicle: A Unified Framework for Vision-based Vehicle Search
Likai Wang, Ruize Han, Xiangqun Zhang +1
Vehicles, as one of the most common and significant objects in the real world, the researches on which using computer vision technologies have made remarkable progress, such as veh…
cs.CV2025
Synthetic-To-Real Video Person Re-ID
Xiangqun Zhang, Wei Feng, Ruize Han +3
Person re-identification (Re-ID) is an important task and has significant applications for public security and information forensics, which has progressed rapidly with the developm…